Analysis of Social Networks Extracted from Log Files
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F10%3A86076515" target="_blank" >RIV/61989100:27240/10:86076515 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Analysis of Social Networks Extracted from Log Files
Original language description
Modern applications like information, enterprise, e-commerce systems as well as monitoring applications, web applications and other systems generate huge amounts of data collections, often stored in log files. A log file is a simple text file, consistedon messages represented by the records of the activities provided. Whether the log record includes the information of the originator (a person, who performed the action), we can derive social networks on the basis of similar attributes of the persons and, in consequence, we can construct models that explain some aspects of persons' behavior. The chapter is oriented to significant data mining methods, used in recent research, with relation to social network analysis and with application to gathering information from the log files.
Czech name
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Czech description
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Classification
Type
C - Chapter in a specialist book
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2010
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Book/collection name
Handbook of Social Network Technologies and Applications
ISBN
978-1-4419-7141-8
Number of pages of the result
31
Pages from-to
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Number of pages of the book
736
Publisher name
SPRINGER
Place of publication
New York
UT code for WoS chapter
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